Pneumonia- VUMC eMERGE v5.1
Identify bacterial pneumonia, similar to that reported with genetic association risk in CD143 and TLR4 A229G in literature.
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Final
Final
Post-event Pain algorithm
Pain is a personal, multidimensional experience in which genetic biomarkers has a main role in determining pain sensitivity, perception and tolerance. Pain is a major concern for surgical patients and post-operative pain management still present a major challenge both in inpatient or outpatient settings. Apart from genetic factors, there are many other variables that may affect pain perception for example, pretreated patients may require less post-surgical medications, and they may recover more quickly.
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Final
Prostate Cancer
We are using the prostate cancer definition used by the eMERGE program, with a slight modification to the control definition (prostate_cancer_status_emerge_mod_1). You can review the eMERGE documentation for reference, but please follow this document for implementation.
Modifications:
Combine “Control A” and “Control B” groups from the provided schematic figure into a single control group for analysis
Controls should be filtered based on age >= the minimum age of identified cases to the age distributions of cases and controls are comparable within each study
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Red Blood Cell Indices
Laboratory results for ESR and RBC indices (hemoglobin, MCV, MCH, RDW… etc) should be extracted from the Laboratory databases. For Mayo, from January 1994 till October 2009, ESR and RBC test results were populated for our 3336 participants. All samples were collected on an outpatient basis. Samples collected during an inpatient hospitalization (admit date ≤ collection date ≤ discharge date) should be excluded unless this sample was the only one available for a patient.
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Resistant hypertension
This algorithm describes the ongoing resistant hypertension algorithm used in eMERGE, which was a network phenotype within the eMERGE-I and eMERGE-II sites.
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Final
Rheumatoid Arthritis (RA)
This rheumatoid arthritis (RA) algorithm was created using a machine-learning logistic regression model.
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Rheumatoid Arthritis - Demonstration Project
Rheumatoid Arthritis phenotype algorithm for the DNA Databank demonstration project.
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Record Count |
Diagnostic Codes? |
Text Keywords? |
Narrative Notes to search |
Other rules |
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Cases |
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Rheumatology Auto-Immune characteristics
Dear,
To identify cases with auto-immune rheumatologic phenotye (for NT198) we request information about auto-antibody (whether it was tested and what the restults were) and drug information (whether it was prescribed) for each patients that is enrolled in eMERGE. We are requesting every mention of any of the expanded generic drugs.
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Final
RxNorm RxCUI codes for Cancer Therapies
This phenotype includes RxNorm RxCUI codes for cancer therapies. These codes map to drug records in the PCORnet Common Data Model and other data sources. The phenotype was developed in 2019. Please see the associated files for additional information.
The development of this phenotype was supported by a Patient-Centered Outcomes Research Institute (PCORI) Award (No. CDRN-1306-04631) for the development of the national patient-centered clinical research network, known as PCORnet.
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